Improving Connectionist Energy Minimization

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Improving Connectionist Energy Minimization

Symmetric networks designed for energy minimization such as Boltzman machines and Hop eld nets are frequently investigated for use in optimization, constraint satisfaction and approximation of NP-hard problems. Nevertheless, nding a global solution (i.e., a global minimum for the energy function) is not guaranteed and even a local solution may take an exponential number of steps. We propose an ...

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ژورنال

عنوان ژورنال: Journal of Artificial Intelligence Research

سال: 1995

ISSN: 1076-9757

DOI: 10.1613/jair.130